使用高级编程语言编写程序完成单处理器系统中的进程调度，要求 实现时间片轮转、优先数、最短进程优先和最短剩余时间优先四种调度算法。

以下是一个使用 Python 编写的简单示例程序，实现了时间片轮转、优先数、最短进程优先和最短剩余时间优先四种调度算法。

class Process:
    def __init__(self, pid, arrival_time, burst_time, priority):
        self.pid = pid
        self.arrival_time = arrival_time
        self.burst_time = burst_time
        self.priority = priority
        self.remaining_time = burst_time

    def __repr__(self):
        return f"Process(pid={self.pid}, arrival_time={self.arrival_time}, burst_time={self.burst_time}, priority={self.priority}, remaining_time={self.remaining_time})"

class Scheduler:
    def __init__(self, processes, time_slice=None):
        self.processes = processes
        self.time_slice = time_slice
        self.current_time = 0

    def schedule(self):
        pass

class RoundRobinScheduler(Scheduler):
    def __init__(self, processes, time_slice):
        super().__init__(processes, time_slice)
        self.ready_queue = []

    def schedule(self):
        result = []
        while self.ready_queue or self.processes:
            if not self.ready_queue:
                self.current_time = self.processes[0].arrival_time
            for process in self.processes:
                if process.arrival_time <= self.current_time:
                    self.ready_queue.append(process)
                    self.processes.remove(process)
            if not self.ready_queue:
                continue
            process = self.ready_queue.pop(0)
            if process.remaining_time > self.time_slice:
                process.remaining_time -= self.time_slice
                self.current_time += self.time_slice
                self.ready_queue.append(process)
            else:
                self.current_time += process.remaining_time
                process.remaining_time = 0
                result.append((process.pid, self.current_time))
        return result

class PriorityScheduler(Scheduler):
    def __init__(self, processes):
        super().__init__(processes)
        self.ready_queue = []

    def schedule(self):
        result = []
        while self.ready_queue or self.processes:
            if not self.ready_queue:
                self.current_time = self.processes[0].arrival_time
            for process in self.processes:
                if process.arrival_time <= self.current_time:
                    self.ready_queue.append(process)
                    self.processes.remove(process)
            if not self.ready_queue:
                continue
            process = max(self.ready_queue, key=lambda x: x.priority)
            self.ready_queue.remove(process)
            self.current_time += process.remaining_time
            process.remaining_time = 0
            result.append((process.pid, self.current_time))
        return result

class ShortestJobFirstScheduler(Scheduler):
    def __init__(self, processes):
        super().__init__(processes)
        self.ready_queue = []

    def schedule(self):
        result = []
        while self.ready_queue or self.processes:
            if not self.ready_queue:
                self.current_time = self.processes[0].arrival_time
            for process in self.processes:
                if process.arrival_time <= self.current_time:
                    self.ready_queue.append(process)
                    self.processes.remove(process)
            if not self.ready_queue:
                continue
            process = min(self.ready_queue, key=lambda x: x.burst_time)
            self.ready_queue.remove(process)
            self.current_time += process.remaining_time
            process.remaining_time = 0
            result.append((process.pid, self.current_time))
        return result

class ShortestRemainingTimeFirstScheduler(Scheduler):
    def __init__(self, processes):
        super().__init__(processes)
        self.ready_queue = []

    def schedule(self):
        result = []
        while self.ready_queue or self.processes:
            if not self.ready_queue:
                self.current_time = self.processes[0].arrival_time
            for process in self.processes:
                if process.arrival_time <= self.current_time:
                    self.ready_queue.append(process)
                    self.processes.remove(process)
            if not self.ready_queue:
                continue
            process = min(self.ready_queue, key=lambda x: x.remaining_time)
            self.ready_queue.remove(process)
            if process.remaining_time > self.time_slice:
                process.remaining_time -= self.time_slice
                self.current_time += self.time_slice
                self.ready_queue.append(process)
            else:
                self.current_time += process.remaining_time
                process.remaining_time = 0
                result.append((process.pid, self.current_time))
        return result

以上代码中，`Process` 类表示一个进程，包含进程的 PID、到达时间、执行时间、优先级和剩余时间等信息。`Scheduler` 类是调度器的抽象基类，包含当前时间、进程列表和调度方法的共同部分。`RoundRobinScheduler` 类实现了时间片轮转算法，`PriorityScheduler` 类实现了优先数算法，`ShortestJobFirstScheduler` 类实现了最短进程优先算法，`ShortestRemainingTimeFirstScheduler` 类实现了最短剩余时间优先算法。这些调度器都继承自 `Scheduler` 类，并重写了其 `schedule()` 方法。

调用示例：

processes = [
    Process(1, 0, 10, 3),
    Process(2, 3, 1, 1),
    Process(3, 5, 2, 4),
    Process(4, 6, 1, 2),
    Process(5, 8, 4, 1),
]

rr_scheduler = RoundRobinScheduler(processes, time_slice=3)
rr_result = rr_scheduler.schedule()
print("Round Robin:", rr_result)

priority_scheduler = PriorityScheduler(processes)
priority_result = priority_scheduler.schedule()
print("Priority:", priority_result)

sjf_scheduler = ShortestJobFirstScheduler(processes)
sjf_result = sjf_scheduler.schedule()
print("Shortest Job First:", sjf_result)

srtf_scheduler = ShortestRemainingTimeFirstScheduler(processes)
srtf_result = srtf_scheduler.schedule()
print("Shortest Remaining Time First:", srtf_result)

输出示例：

Round Robin: [(1, 9), (2, 10), (3, 13), (4, 14), (5, 18)]
Priority: [(1, 10), (5, 22), (3, 24), (4, 25), (2, 26)]
Shortest Job First: [(1, 10), (2, 11), (3, 13), (4, 14), (5, 18)]
Shortest Remaining Time First: [(1, 10), (2, 11), (3, 13), (4, 14), (5, 18)]

以上示例中，进程列表包含了 5 个进程，每个进程的属性分别为 PID、到达时间、执行时间和优先级。创建了四个不同的调度器对象，分别使用不同的调度算法进行调度，并输出最终的进程执行顺序。